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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from collections import OrderedDict
from decimal import Decimal
import io
import itertools
import json
import string
import unittest
import numpy as np
import pytest
import pyarrow as pa
from pyarrow.json import read_json, ReadOptions, ParseOptions
def generate_col_names():
# 'a', 'b'... 'z', then 'aa', 'ab'...
letters = string.ascii_lowercase
yield from letters
for first in letters:
for second in letters:
yield first + second
def make_random_json(num_cols=2, num_rows=10, linesep='\r\n'):
arr = np.random.RandomState(42).randint(0, 1000, size=(num_cols, num_rows))
col_names = list(itertools.islice(generate_col_names(), num_cols))
lines = []
for row in arr.T:
json_obj = OrderedDict([(k, int(v)) for (k, v) in zip(col_names, row)])
lines.append(json.dumps(json_obj))
data = linesep.join(lines).encode()
columns = [pa.array(col, type=pa.int64()) for col in arr]
expected = pa.Table.from_arrays(columns, col_names)
return data, expected
def check_options_class_pickling(cls, pickler, **attr_values):
opts = cls(**attr_values)
new_opts = pickler.loads(pickler.dumps(opts,
protocol=pickler.HIGHEST_PROTOCOL))
for name, value in attr_values.items():
assert getattr(new_opts, name) == value
def test_read_options(pickle_module):
cls = ReadOptions
opts = cls()
assert opts.block_size > 0
opts.block_size = 12345
assert opts.block_size == 12345
assert opts.use_threads is True
opts.use_threads = False
assert opts.use_threads is False
opts = cls(block_size=1234, use_threads=False)
assert opts.block_size == 1234
assert opts.use_threads is False
check_options_class_pickling(cls, pickler=pickle_module,
block_size=1234,
use_threads=False)
def test_parse_options(pickle_module):
cls = ParseOptions
opts = cls()
assert opts.newlines_in_values is False
assert opts.explicit_schema is None
opts.newlines_in_values = True
assert opts.newlines_in_values is True
schema = pa.schema([pa.field('foo', pa.int32())])
opts.explicit_schema = schema
assert opts.explicit_schema == schema
assert opts.unexpected_field_behavior == "infer"
for value in ["ignore", "error", "infer"]:
opts.unexpected_field_behavior = value
assert opts.unexpected_field_behavior == value
with pytest.raises(ValueError):
opts.unexpected_field_behavior = "invalid-value"
check_options_class_pickling(cls, pickler=pickle_module,
explicit_schema=schema,
newlines_in_values=False,
unexpected_field_behavior="ignore")
class BaseTestJSONRead:
def read_bytes(self, b, **kwargs):
return self.read_json(pa.py_buffer(b), **kwargs)
def check_names(self, table, names):
assert table.num_columns == len(names)
assert [c.name for c in table.columns] == names
def test_file_object(self):
data = b'{"a": 1, "b": 2}\n'
expected_data = {'a': [1], 'b': [2]}
bio = io.BytesIO(data)
table = self.read_json(bio)
assert table.to_pydict() == expected_data
# Text files not allowed
sio = io.StringIO(data.decode())
with pytest.raises(TypeError):
self.read_json(sio)
def test_block_sizes(self):
rows = b'{"a": 1}\n{"a": 2}\n{"a": 3}'
read_options = ReadOptions()
parse_options = ParseOptions()
for data in [rows, rows + b'\n']:
for newlines_in_values in [False, True]:
parse_options.newlines_in_values = newlines_in_values
read_options.block_size = 4
with pytest.raises(ValueError,
match="try to increase block size"):
self.read_bytes(data, read_options=read_options,
parse_options=parse_options)
# Validate reader behavior with various block sizes.
# There used to be bugs in this area.
for block_size in range(9, 20):
read_options.block_size = block_size
table = self.read_bytes(data, read_options=read_options,
parse_options=parse_options)
assert table.to_pydict() == {'a': [1, 2, 3]}
def test_no_newline_at_end(self):
rows = b'{"a": 1,"b": 2, "c": 3}\n{"a": 4,"b": 5, "c": 6}'
table = self.read_bytes(rows)
assert table.to_pydict() == {
'a': [1, 4],
'b': [2, 5],
'c': [3, 6],
}
def test_simple_ints(self):
# Infer integer columns
rows = b'{"a": 1,"b": 2, "c": 3}\n{"a": 4,"b": 5, "c": 6}\n'
table = self.read_bytes(rows)
schema = pa.schema([('a', pa.int64()),
('b', pa.int64()),
('c', pa.int64())])
assert table.schema == schema
assert table.to_pydict() == {
'a': [1, 4],
'b': [2, 5],
'c': [3, 6],
}
def test_simple_varied(self):
# Infer various kinds of data
rows = (b'{"a": 1,"b": 2, "c": "3", "d": false}\n'
b'{"a": 4.0, "b": -5, "c": "foo", "d": true}\n')
table = self.read_bytes(rows)
schema = pa.schema([('a', pa.float64()),
('b', pa.int64()),
('c', pa.string()),
('d', pa.bool_())])
assert table.schema == schema
assert table.to_pydict() == {
'a': [1.0, 4.0],
'b': [2, -5],
'c': ["3", "foo"],
'd': [False, True],
}
def test_simple_nulls(self):
# Infer various kinds of data, with nulls
rows = (b'{"a": 1, "b": 2, "c": null, "d": null, "e": null}\n'
b'{"a": null, "b": -5, "c": "foo", "d": null, "e": true}\n'
b'{"a": 4.5, "b": null, "c": "nan", "d": null,"e": false}\n')
table = self.read_bytes(rows)
schema = pa.schema([('a', pa.float64()),
('b', pa.int64()),
('c', pa.string()),
('d', pa.null()),
('e', pa.bool_())])
assert table.schema == schema
assert table.to_pydict() == {
'a': [1.0, None, 4.5],
'b': [2, -5, None],
'c': [None, "foo", "nan"],
'd': [None, None, None],
'e': [None, True, False],
}
def test_empty_lists(self):
# ARROW-10955: Infer list(null)
rows = b'{"a": []}'
table = self.read_bytes(rows)
schema = pa.schema([('a', pa.list_(pa.null()))])
assert table.schema == schema
assert table.to_pydict() == {'a': [[]]}
def test_empty_rows(self):
rows = b'{}\n{}\n'
table = self.read_bytes(rows)
schema = pa.schema([])
assert table.schema == schema
assert table.num_columns == 0
assert table.num_rows == 2
def test_reconcile_across_blocks(self):
# ARROW-12065: reconciling inferred types across blocks
first_row = b'{ }\n'
read_options = ReadOptions(block_size=len(first_row))
for next_rows, expected_pylist in [
(b'{"a": 0}', [None, 0]),
(b'{"a": []}', [None, []]),
(b'{"a": []}\n{"a": [[1]]}', [None, [], [[1]]]),
(b'{"a": {}}', [None, {}]),
(b'{"a": {}}\n{"a": {"b": {"c": 1}}}',
[None, {"b": None}, {"b": {"c": 1}}]),
]:
table = self.read_bytes(first_row + next_rows,
read_options=read_options)
expected = {"a": expected_pylist}
assert table.to_pydict() == expected
# Check that the issue was exercised
assert table.column("a").num_chunks > 1
def test_explicit_schema_decimal(self):
rows = (b'{"a": 1}\n'
b'{"a": 1.45}\n'
b'{"a": -23.456}\n'
b'{}\n')
expected = {
'a': [Decimal("1"), Decimal("1.45"), Decimal("-23.456"), None],
}
for type_factory in (pa.decimal128, pa.decimal256):
schema = pa.schema([('a', type_factory(9, 4))])
opts = ParseOptions(explicit_schema=schema)
table = self.read_bytes(rows, parse_options=opts)
assert table.schema == schema
assert table.to_pydict() == expected
def test_explicit_schema_with_unexpected_behaviour(self):
# infer by default
rows = (b'{"foo": "bar", "num": 0}\n'
b'{"foo": "baz", "num": 1}\n')
schema = pa.schema([
('foo', pa.binary())
])
opts = ParseOptions(explicit_schema=schema)
table = self.read_bytes(rows, parse_options=opts)
assert table.schema == pa.schema([
('foo', pa.binary()),
('num', pa.int64())
])
assert table.to_pydict() == {
'foo': [b'bar', b'baz'],
'num': [0, 1],
}
# ignore the unexpected fields
opts = ParseOptions(explicit_schema=schema,
unexpected_field_behavior="ignore")
table = self.read_bytes(rows, parse_options=opts)
assert table.schema == pa.schema([
('foo', pa.binary()),
])
assert table.to_pydict() == {
'foo': [b'bar', b'baz'],
}
# raise error
opts = ParseOptions(explicit_schema=schema,
unexpected_field_behavior="error")
with pytest.raises(pa.ArrowInvalid,
match="JSON parse error: unexpected field"):
self.read_bytes(rows, parse_options=opts)
def test_small_random_json(self):
data, expected = make_random_json(num_cols=2, num_rows=10)
table = self.read_bytes(data)
assert table.schema == expected.schema
assert table.equals(expected)
assert table.to_pydict() == expected.to_pydict()
def test_load_large_json(self):
data, expected = make_random_json(num_cols=2, num_rows=100100)
# set block size is 10MB
read_options = ReadOptions(block_size=1024*1024*10)
table = self.read_bytes(data, read_options=read_options)
assert table.num_rows == 100100
assert expected.num_rows == 100100
def test_stress_block_sizes(self):
# Test a number of small block sizes to stress block stitching
data_base, expected = make_random_json(num_cols=2, num_rows=100)
read_options = ReadOptions()
parse_options = ParseOptions()
for data in [data_base, data_base.rstrip(b'\r\n')]:
for newlines_in_values in [False, True]:
parse_options.newlines_in_values = newlines_in_values
for block_size in [22, 23, 37]:
read_options.block_size = block_size
table = self.read_bytes(data, read_options=read_options,
parse_options=parse_options)
assert table.schema == expected.schema
if not table.equals(expected):
# Better error output
assert table.to_pydict() == expected.to_pydict()
class TestSerialJSONRead(BaseTestJSONRead, unittest.TestCase):
def read_json(self, *args, **kwargs):
read_options = kwargs.setdefault('read_options', ReadOptions())
read_options.use_threads = False
table = read_json(*args, **kwargs)
table.validate(full=True)
return table
class TestParallelJSONRead(BaseTestJSONRead, unittest.TestCase):
def read_json(self, *args, **kwargs):
read_options = kwargs.setdefault('read_options', ReadOptions())
read_options.use_threads = True
table = read_json(*args, **kwargs)
table.validate(full=True)
return table
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